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Clustering and Ranked Search for Enterprise Content Management

Clustering and Ranked Search for Enterprise Content Management

Juris Rats, Gints Ernestsons
Copyright: © 2013 |Volume: 4 |Issue: 4 |Pages: 12
ISSN: 1947-8585|EISSN: 1947-8593|EISBN13: 9781466635623|DOI: 10.4018/ijeei.2013100102
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MLA

Rats, Juris, and Gints Ernestsons. "Clustering and Ranked Search for Enterprise Content Management." IJEEI vol.4, no.4 2013: pp.20-31. http://doi.org/10.4018/ijeei.2013100102

APA

Rats, J. & Ernestsons, G. (2013). Clustering and Ranked Search for Enterprise Content Management. International Journal of E-Entrepreneurship and Innovation (IJEEI), 4(4), 20-31. http://doi.org/10.4018/ijeei.2013100102

Chicago

Rats, Juris, and Gints Ernestsons. "Clustering and Ranked Search for Enterprise Content Management," International Journal of E-Entrepreneurship and Innovation (IJEEI) 4, no.4: 20-31. http://doi.org/10.4018/ijeei.2013100102

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Abstract

The aim of this work is to understand more closely where the border lies between relational and Not Only Structured Query Language (NoSQL) platform as concerns Enterprise Content Management (ECM) area. Another objective (closely related to the first one) is to specify the conceptual architecture of the distributed ECM system. The authors specify the model of the prototype ECM system and compare two platforms for this model – MS SQL based for the relational platform and Clusterpoint for the NoSQL platform. The results of performance measurements of SQL and NoSQL technologies for Enterprise Content Management specific tasks are presented and analyzed. The viability of NoSQL Document-oriented database solution based on clustering and ranked search is demonstrated. The ways to leverage the improved performance and scalability of the software to better serve the business needs of the Enterprise are discussed. The conceptual architecture of the prototype system is outlined.

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